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Record W4284686422 · doi:10.3138/md-65-2-1219

Deadly Pinter: Ghostly Precedents and New Possibilities for Staging

2022· article· en· W4284686422 on OpenAlexvenueno aff
Charles Morton

Bibliographic record

VenueModern Drama · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAfterlifeContext (archaeology)Interpretation (philosophy)Argument (complex analysis)Scope (computer science)LiteraturePerformance artFidelityHistoryArtArt historyPhilosophyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Recent productions of Harold Pinter’s full-length plays in the West End demonstrate how a fidelity to the text or previous productions can limit the scope for reinvention in future performances of Pinter’s work. As a contribution to the discussion of how to stage Pinter, which has become even more urgent since his death, this essay considers Peter Brook’s theory of the Deadly Theatre from The Empty Space. The argument is not about the quality of these recent productions but rather about what is gained from more imaginative, if less reverential, approaches to Pinter’s texts and what may be lost when we entomb the texts within their historical contexts. To avoid Pinter’s plays becoming museum theatre, new approaches to the context in which his plays were written and to the detail of the text will allow for a greater range of interpretation and indeed a greater performance afterlife for Pinter’s plays.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.033
Scholarly communication0.0110.011
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.257
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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